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The Effects of Automatic Speech Recognition Quality on Human Transcription Latency

Published: 26 October 2015 Publication History

Abstract

Converting speech to text quickly is the fundamental task for making aural content accessible to deaf and hard of hearing. Despite high cost, this is done by human captionists, as automatic speech recognition (ASR) does not give satisfactory performance in real world settings. Offering ASR output to captionists as a starting point seems more facile and economical, yet the effectiveness of this approach is clearly dependent on the quality of ASR because fixing inaccurate ASR output may take longer than producing the transcriptions without ASR support. In this paper, we empirically study how the time required by captionists to produce transcriptions from partially correct ASR output varies based on the accuracy of the ASR output. Our studies with 160 participants recruited on Amazon's Mechanical Turk indicate that starting with the ASR output is worse unless it is sufficiently accurate (Word Error Rate (WER) is under 30%).

References

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Y. C. Beatrice Liem, Haoqi Zhang. An iterative dual pathway structure for speech-to-text transcription. In Proceedings of the 3rd Workshop on Human Computation (HCOMP '11), HCOMP '11, 2011.
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G. Hinton, L. Deng, D. Yu, G. E. Dahl, A.-r. Mohamed, N. Jaitly, A. Senior, V. Vanhoucke, P. Nguyen, T. N. Sainath, et al. Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups. Signal Processing Magazine, IEEE, 29(6):82--97, 2012.
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W. Lasecki, C. Miller, A. Sadilek, A. Abumoussa, D. Borrello, R. Kushalnagar, and J. Bigham. Real-time captioning by groups of non-experts. In Proceedings of the 25th Annual ACM Symposium on User Interface Software and Technology, UIST '12, pages 23--34, New York, NY, USA, 2012. ACM.
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D. Povey, A. Ghoshal, G. Boulianne, L. Burget, O. Glembek, N. Goel, M. Hannemann, P. Motlıček, Y. Qian, P. Schwarz, et al. The kaldi speech recognition toolkit. 2011.
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  • (2018)Multi-view Mouth Renderization for Assisting Lip-readingProceedings of the 15th International Web for All Conference10.1145/3192714.3192824(1-10)Online publication date: 23-Apr-2018
  • (2017)Facilitating Development of Pragmatic Competence through a Voice-driven Video Learning InterfaceProceedings of the 2017 CHI Conference on Human Factors in Computing Systems10.1145/3025453.3025805(1431-1440)Online publication date: 2-May-2017
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  1. The Effects of Automatic Speech Recognition Quality on Human Transcription Latency

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    cover image ACM Conferences
    ASSETS '15: Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility
    October 2015
    466 pages
    ISBN:9781450334006
    DOI:10.1145/2700648
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    New York, NY, United States

    Publication History

    Published: 26 October 2015

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    Author Tags

    1. automatic speech recognition
    2. captioning
    3. crowd sourcing
    4. human computation

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    ASSETS '15 Paper Acceptance Rate 30 of 127 submissions, 24%;
    Overall Acceptance Rate 436 of 1,556 submissions, 28%

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    Cited By

    View all
    • (2025) How AI Helps to Compile Human Intelligence: An Empirical Study of Emerging Augmented Intelligence for Medical Image Scanning Information Systems Journal10.1111/isj.12585Online publication date: 21-Jan-2025
    • (2018)Multi-view Mouth Renderization for Assisting Lip-readingProceedings of the 15th International Web for All Conference10.1145/3192714.3192824(1-10)Online publication date: 23-Apr-2018
    • (2017)Facilitating Development of Pragmatic Competence through a Voice-driven Video Learning InterfaceProceedings of the 2017 CHI Conference on Human Factors in Computing Systems10.1145/3025453.3025805(1431-1440)Online publication date: 2-May-2017
    • (2017)Have your Cake and Eat it TooProceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing10.1145/2998181.2998268(286-296)Online publication date: 25-Feb-2017
    • (2016)Dynamic Authoring of Audio with Linked ScriptsProceedings of the 29th Annual Symposium on User Interface Software and Technology10.1145/2984511.2984561(509-516)Online publication date: 16-Oct-2016
    • (2016)Improving Real-Time Captioning Experiences for Deaf and Hard of Hearing StudentsProceedings of the 18th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/2982142.2982164(15-23)Online publication date: 23-Oct-2016
    • (2016)In-Document Adaptation for a Human Guided Automatic Transcription ServiceSpeech and Computer10.1007/978-3-319-43958-7_47(395-402)Online publication date: 13-Aug-2016

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